LLM & Agents
6763 skills in Data & AI > LLM & Agents
ALPS CLI Tool Assistant - Complete Skill Summary
This skill helps developers work with the asd-cli tool - a standalone binary for ALPS (Application-Level Profile Semantics) profile validation, conversion, and processing. It provides CLI commands and
devops-infrastructure
Manage deployment, Docker, CI/CD, server hardening, and infrastructure security. EXCLUSIVE to devops-engineer agent.
memory-design-patterns
Best practices for memory architecture design including user vs agent vs session memory patterns, vector vs graph memory tradeoffs, retention strategies, and performance optimization. Use when designing memory systems, architecting AI memory layers, choosing memory types, planning retention strategies, or when user mentions memory architecture, user memory, agent memory, session memory, memory patterns, vector storage, graph memory, or Mem0 architecture.
ollama-gemma-assistant
Assistente de IA local usando Ollama com modelo Gemma2 para tarefas gerais de desenvolvimento e análise
skillset-smoke-test
Run and evaluate the Skillset smoke test (aliases, sets, and skill invocation) and interpret its JSON reports. Use this when validating $skill/$set behavior or checking Claude Code/Codex headless runs.
rules
Strict file creation rules. Loaded FIRST by orchestrator and all agents before any action. Prevents pollution with .md, .json, scripts. Only allows code files and .build/ docs.
nomos-test-execution
Orchestrates test execution for the Nomos monorepo following TESTING_GUIDE.md standards. Use this when running tests, debugging test failures, validating coverage, or executing verification checklists from AGENTS.md files.
python-testing
Generate pytest tests for Python modules with parametrization, shared fixtures in conftest.py, and minimal mocking. Use when creating unit tests, test suites, or improving test coverage. Follows 1-1 file correspondence and real object testing principles.
structured-outputs-advisor
Use PROACTIVELY when users need guaranteed schema compliance or validated tool inputs from Anthropic's structured outputs feature. Expert advisor for choosing between JSON outputs (data extraction/formatting) and strict tool use (agentic workflows). Analyzes requirements, explains trade-offs, and delegates to specialized implementation skills. Not for simple text responses or unstructured outputs.
aethercorepromptfoundry
World-class prompt powerhouse that generates production-ready mega-prompts for any role, industry, and task through intelligent 7-question flow, 69 comprehensive presets across 15 professional domains (technical, business, creative, legal, finance, HR, design, customer, executive, manufacturing, R&D, regulatory, specialized-technical, research, creative-media), multiple output formats (XML/Claude/ChatGPT/Gemini), quality validation gates, and contextual best practices from OpenAI/Anthropic/Google. Supports both core and advanced modes with testing scenarios and prompt variations.
system-architecture-advisor
Technical architect assistant that helps design robust, scalable, and maintainable backend/frontend architectures. Provides visual diagrams, pattern recommendations, API design guidance, and stack selection advice. Use when designing system architecture, choosing tech stacks, planning scalability, designing APIs, or creating architectural documentation. Covers microservices, monoliths, serverless, event-driven patterns, and modern frameworks like Next.js and Supabase.
tdd-workflow
Test-driven development guidance for Tetris game logic. Use when writing tests, fixing test failures, improving test coverage, or implementing game mechanics. Auto-triggers on phrases like "write a test", "test this function", "improve coverage", "fix failing tests", or "add game logic". Emphasizes Result<T,E> pattern and property-based testing with fast-check.
ai-native-development
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development. Includes local LLM inference with Ollama for 93% CI cost reduction.
browser-content-capture
Capture content from JavaScript-rendered pages, login-protected sites, and multi-page documentation using Playwright MCP tools or Claude Chrome extension. Use when WebFetch fails on SPAs, dynamic content, or auth-required pages.
reflection-review
Claude Code 작업 결과를 6개 영역(분석, 계획, 구현, 리뷰, 검증, 테스트)에서 평가하고 구체적인 피드백을 생성합니다. 결과 수집, 영역별 점수화, P0/P1/P2 우선순위 피드백, 자기비판, 성찰, 재평가 사이클을 통해 품질을 개선합니다. Use when evaluating code results, generating feedback, reviewing implementation quality, assessing test coverage.
langchain-retrieval
Document Q&A with RAG using Supabase pgvector store.
web-ai-prompt-api
Chrome's built-in Prompt API implementation guide. Use Gemini Nano locally in browser for AI features - session management, multimodal input, structured output, streaming, Chrome Extensions. Reference for all Prompt API development.
tailwind-css-v4-mastery
Expert guidance for leveraging Tailwind CSS V4's new Oxide engine, CSS-first configuration, and modern styling paradigms. This skill transforms Claude into a Tailwind V4 architecture specialist, capable of designing component systems, optimizing performance, and executing complex styling challenges with precision.
chezmoi
Manage dotfiles with chezmoi. Use when working with dotfiles, chezmoi templates, machine-specific configuration, or when the user mentions chezmoi.
orchestrator-control-skill
Master orchestrator control for PR lifecycle management with multi-agent coordination